Roa Harb

4 papers receiving 315 citations

Roa Harb's Hit Papers

A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia 2020 · 312 citations
3120+2+4Years since publication100200300

Peers

Roa Harb
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 225
  • Surgery 227
  • Cardiology and Cardiovascular Medicine 84
  • Cancer Research 42
  • Economics and Econometrics 45
Replace Jeff W. Meeusen with:
Jeff W. Meeusen United States
Mohmed Ashmaig United States
Camilla Ditlev Lindhardt Johannesen Denmark
Chee Jeong Kim South Korea
Mar Piedecausa Spain
Jane K. Stock United Kingdom
Daniel Siniawski Argentina
Delia Silverio United States
Julia Brandts Germany
Richard M. Moe United States
Roa Harb relative to Jeff W. Meeusen United States Jeff W. Meeusen's profile →
Citations per field
00.5×1.5×
Jeff W. Meeusen · 1×
Citations per year

Countries citing papers authored by Roa Harb

Since Specialization
Citations

This map shows the geographic impact of Roa Harb's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roa Harb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roa Harb more than expected).

Fields of papers citing papers by Roa Harb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roa Harb. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roa Harb. The network helps show where Roa Harb may publish in the future.

Co-authors

The 25 scholars most cited alongside Roa Harb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roa Harb Line = papers co-authored together Roa Harb links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Roa Harb

Roa Harb is a scholar working on Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging, Physiology, Infectious Diseases and Surgery, having authored 5 papers that have together received 319 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (2 papers), CAR-T cell therapy research (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Biosimilars and Bioanalytical Methods (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Ethics in Clinical Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (225 citations), Surgery (227 citations), Cardiology and Cardiovascular Medicine (84 citations), Cancer Research (42 citations) and Economics and Econometrics (45 citations). Roa Harb has collaborated with scholars based in United States and Sierra Leone. Frequent co-authors include Qian Sun, Marcelo Amar, Amar A Sethi, Allan S. Jaffe, Alan T. Remaley, Mohmed Ashmaig, Robert D. Shamburek, Russell Warnick, Maureen Sampson and James K. Fleming. Their work appears in journals such as Frontiers in Medicine, Pediatric Blood & Cancer, Archives of Pathology & Laboratory Medicine, American Journal of Clinical Pathology and JAMA Cardiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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